MS-IS with Concentration in Information Systems

The concentration in Information Systems prepares students for positions that require technical knowledge and skills. This concentration gives students a strong foundation in system analysis, system design, IT project management, databases and enterprise infrastructure. Today, employers are seeking professionals who can demonstrate creative ideas and have the ability to use information technology to further their business goals. They must gain the basic skills and technical competencies that will enable them to properly deploy and utilize technology in their organization at different levels. Completion of this concentration provides students with the basic skills and competencies that will enable them to support their organization to gain strategic and tactical competitive advantage. Courses offered in this concentration are a blend of hands-on experience and theory, with the flexibility of online delivery or classroom instruction.

General Degree Requirements

  1. Total coursework of 36 credit hours (12 courses).
  2. Enroll in INFO 5090 - Practicum, unless officially waived based on previous professional and industry experience. Visit the Practicum Page for more information.
  3. Completion of the Capstone Experience.

Required Courses (9 hours)

INFO 5000 – Information and Knowledge Professions
INFO 5200 – Information Organization
INFO 5600 – Information Access and Knowledge Inquiry

​A grade of B or higher must be earned in all 3 core courses. 

Guided Electives (Information Science Major)

Completion of at least three (9 credit hours) of the following major prescribed courses with the guidance of the academic advisor:

INFO 5206 – Information Retrieval and Design
INFO 5305 – System Analysis and Design
INFO 5306 – Project Management for Information Systems
INFO 5307 - Knowledge Management Tools and Technologies
INFO 5707 – Data Modeling for Information Professionals
INFO 5731 – Computational Methods for Information Systems

Concentration Electives

Completion of at least three courses (9 credit hours) from the categories listed below with the guidance of the academic advisor. It is also required that each student completes at least one course from the following list:

INFO 5206 – Information Retrieval Design
NFO 5224 – Metadata and Networked Information Organization & Retrieval II (Advanced Topics in Metadata) 
INFO 5305 – Systems Analysis and Design
INFO 5306 – Project Management for Information Systems
INFO 5707 – Data Modeling for Information Professionals
INFO 5713 – Telecommunications and Information Professionals
INFO 5717 – Networked Data Modeling and Processing
INFO 5730 – Microcomputer Applications for Information Management
INFO 5735 - Usability & User Experience Assessment
INFO 5737 - Information Security and Cyber Security 
INFO 5745 – Information Architecture
INFO 5810 –
Data Analysis & Knowledge Discovery
INFO 5815 – Topics on Digital Images for Information Professionals


General Electives

Additional three elective courses (9 hours) selected from the list below or transferred from other programs with the approval of faculty advisor.  All courses outside of this list must be approved by the faculty advisor.

INFO 5500 - Foundation Principles of Knowledge Management
ADTA 5130 – Data Analytics I
ADTA 5160 - Sport and Entertainment Analytics
ADTA 5230 – Data Analytics II
ADTA 5240 – Harvesting, Storing & Retrieving Data
ADTA 5340 – Discovery & Learning with Big Data
DSCI 5240 - Data Mining & Machine Learning for Business
DSCI 5330 - Enterprise Applications of Business Intelligence
DSCI 5340 – Predictive Analytics & Business Forecasting
LTEC 5300 – Learning & Cognition
LTEC 5702 – Applications of Artificial Intelligence in Learning Analytics
LING 5405 - Python Programming for Text
DSCI 5360 – Data Visualization 

ADTA 5250 Large Data Visualization
INFO 5709 Data Visualization & Communication

*INFO 5814 - Web Content Development and Maintenance is NOT approved for the Information Systems concentration

Further information concerning these requirements may be obtained by contacting the College of Information (COI) Advising Team by email at  or by phone at 940-565-2445.